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Computes the main effect of Factor A across levels of Factor B, analogous to the main effect in a factorial ANOVA.

Usage

lnRR_main(
  data,
  col_names = c("yi", "vi"),
  append = TRUE,
  Ctrl_mean,
  Ctrl_sd,
  Ctrl_n,
  A_mean,
  A_sd,
  A_n,
  B_mean,
  B_sd,
  B_n,
  AB_mean,
  AB_sd,
  AB_n
)

Arguments

data

Data frame containing the variables used.

col_names

Vector of two strings to name the output columns for the effect size and it's sampling variance. Default is 'yi' and 'vi'.

append

Logical. Append the results to data. Default is TRUE

Ctrl_mean

Mean outcome from the Control treatment

Ctrl_sd

Standard deviation from the control treatment

Ctrl_n

Sample size from the control streatment

A_mean

Mean outcome from the A treatment

A_sd

Standard deviation from the A treatment

A_n

Sample size from the A treatment

B_mean

Mean outcome from the B treatment

B_sd

Standard deviation from the B treatment

B_n

Sample size from the B treatment

AB_mean

Mean outcome from the interaction AxB treatment

AB_sd

Standard deviation from the interaction AxB treatment

AB_n

Sample size from the interaction AxB treatment

Details

See the package vignette for a detailed description of the formula.

References

Morris, W. F., Hufbauer, R. A., Agrawal, A. A., Bever, J. D., Borowicz, V. A., Gilbert, G. S., ... & Vázquez, D. P. (2007). Direct and interactive effects of enemies and mutualists on plant performance: a meta‐analysis. Ecology, 88(4), 1021-1029. https://doi.org/10.1890/06-0442

Lajeunesse, M. J. (2011). On the meta‐analysis of response ratios for studies with correlated and multi‐group designs. Ecology, 92(11), 2049-2055. https://doi.org/10.1890/11-0423.1

Macartney, E. L., Lagisz, M., & Nakagawa, S. (2022). The relative benefits of environmental enrichment on learning and memory are greater when stressed: A meta-analysis of interactions in rodents. Neuroscience & Biobehavioral Reviews, 135, 104554. https://doi.org/10.1016/j.neubiorev.2022.104554